Optimized library preparation, sequencing, and data analysis protocols for the generation of orbivirus consensus sequences

Whole genome sequencing (WGS) via next-generation sequencing (NGS) platforms offers a powerful approach for investigating viral genetic diversity. Orbiviruses are an economically important group of arboviruses with a double-stranded RNA (dsRNA) genome consisting of 10 segments. Traditional approaches to virus sequencing relied primarily on processing with various treatments such as lithium chloride to enrich dsRNAs and then sequencing on Illumina platforms due to its lower error rate. To reduce the time and cost associated with orbivirus sequencing, we simplified the sample preparation, sequencing, and analysis protocols. Our optimized sample and library preparation protocols achieved comparable results to established methods while benefiting from simpler sample preparation. The optimized protocols for Illumina and Nanopore platforms (which produces longer reads) resulted in both platforms producing high quality whole genome sequences. To streamline the data analysis, we developed OrbiSeq, a reproducible Nextflow workflow for analysis and consensus sequence generation of orbivirus genomes from Illumina and Nanopore sequence data. While the OrbiSeq pipeline was optimized with orbivirus sequences, it can be used to recover consensus sequences for any segmented or non-segmented viral genome, provided that the sequence is sufficiently similar to existing reference sequences. The optimized protocols for producing viral sequences enhance opportunities for extensive genomic surveillance and in turn deeper evolutionary insights.

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Publication Details

Journal
BMC Genomics
Published
2026-01-13
DOI
https://doi.org/10.1186/s12864-025-12422-y
Primary Topic
Vector-Borne Animal Diseases
Type
article
Field-Weighted Citation Impact
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article

Optimized library preparation, sequencing, and data analysis protocols for the generation of orbivirus consensus sequences

Christie Mayo, Tyler Sherman, Lee W. Cohnstaedt, Mark D. Stenglein et al.
BMC Genomics
Vector-Borne Animal Diseases
article

Optimized library preparation, sequencing, and data analysis protocols for the generation of orbivirus consensus sequences

Christie Mayo, Tyler Sherman, Lee W. Cohnstaedt, Mark D. Stenglein, Corey L. Brelsfoard, Tavis K. Anderson, Tillie J. Dunham, Kirsten J. Reed
article en

Abstract

Whole genome sequencing (WGS) via next-generation sequencing (NGS) platforms offers a powerful approach for investigating viral genetic diversity. Orbiviruses are an economically important group of arboviruses with a double-stranded RNA (dsRNA) genome consisting of 10 segments. Traditional approaches to virus sequencing relied primarily on processing with various treatments such as lithium chloride to enrich dsRNAs and then sequencing on Illumina platforms due to its lower error rate. To reduce the time and cost associated with orbivirus sequencing, we simplified the sample preparation, sequencing, and analysis protocols. Our optimized sample and library preparation protocols achieved comparable results to established methods while benefiting from simpler sample preparation. The optimized protocols for Illumina and Nanopore platforms (which produces longer reads) resulted in both platforms producing high quality whole genome sequences. To streamline the data analysis, we developed OrbiSeq, a reproducible Nextflow workflow for analysis and consensus sequence generation of orbivirus genomes from Illumina and Nanopore sequence data. While the OrbiSeq pipeline was optimized with orbivirus sequences, it can be used to recover consensus sequences for any segmented or non-segmented viral genome, provided that the sequence is sufficiently similar to existing reference sequences. The optimized protocols for producing viral sequences enhance opportunities for extensive genomic surveillance and in turn deeper evolutionary insights.

BMC GenomicsVol. 27(1)
Texas Tech University (US), National Agricultural Statistics Service (US), National Animal Disease Center (US), Colorado State University (US)
Openalex Percentile: Top 93%
Vector-Borne Animal Diseases
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